Abstract: A path planning apparatus and method for an autonomous vehicle are provided. The apparatus includes a surrounding information detector that detects surrounding information around the vehicle and a vehicle information detector that detects vehicle information regarding driving states of the vehicle. A vehicle behavior determiner determines vehicle behavior based on the surrounding information and the vehicle information and a driving path generator generates a driving path and a velocity profile for a lane change using the surrounding information and the vehicle information when receiving a lane change signal from the vehicle behavior determiner.

Abstract: An apparatus a method for generating a traveling path of a vehicle, may include a sensor device mounted in the vehicle and detecting a surrounding environment of the vehicle; and a controller determining a traveling space in which the vehicle is traveled by considering the surrounding environment of the vehicle, and generating the traveling path within the determined traveling space.

Abstract: A driving path planning apparatus for an autonomous vehicle includes a driving information obtainer to obtain crossroad information, current velocity, and velocity setting of the vehicle. A global path planner plans a base frame, and an environment recognizer recognizes obstacle on a path and lane information of the vehicle. The apparatus also includes a velocity profile generator to generate a velocity profile for the vehicle, using current velocity and velocity setting, a candidate path planner to plan candidate paths for the vehicle, using velocity profile and base frame, and a path selector to check whether or not the candidate paths have collision risks and select one candidate path of the candidate paths as a driving path for the autonomous vehicle.

Abstract: An integrative control system and a method for controlling a blind spot detection system (BSDS) and a lane keeping assist system (LKAS) for stable driving of a vehicle are provided, in which, when the vehicle is deviated from its lane and another vehicle is positioned in a blind spot, an estimated lateral distance is calculated using time-to-collision, and side brake control by the ABSD system and steering angle control by the LKAS are performed based on the estimated lateral distance.

Abstract: An integrative control system and a method for controlling a blind spot detection system (BSDS) and a lane keeping assist system (LKAS) for stable driving of a vehicle are provided, in which, when the vehicle is deviated from its lane and another vehicle is positioned in a blind spot, an estimated lateral distance is calculated using time-to-collision, and side brake control by the ABSD system and steering angle control by the LKAS are performed based on the estimated lateral distance.

Abstract: A system and method for performing autonomous navigation of a vehicle are disclosed, which recognize a possibility of collision risk through path estimation of a target vehicle, and generate an autonomous navigation path. The autonomous navigation system for a vehicle includes: a target-vehicle information detection unit configured to detect traveling information of a target vehicle; and a path generation unit configured to estimate movement of the target vehicle on the basis of the information received from the target-vehicle information detection unit, calculate a collision risk value by recognizing a possibility of collision risk between an ego-vehicle and the target vehicle, and generate an autonomous navigation path of the ego-vehicle.

Abstract: A driving path planning apparatus for an autonomous vehicle includes a driving information obtainer to obtain crossroad information, current velocity, and velocity setting of the vehicle. A global path planner plans a base frame, and an environment recognizer recognizes obstacle on a path and lane information of the vehicle. The apparatus also includes a velocity profile generator to generate a velocity profile for the vehicle, using current velocity and velocity setting, a candidate path planner to plan candidate paths for the vehicle, using velocity profile and base frame, and a path selector to check whether or not the candidate paths have collision risks and select one candidate path of the candidate paths as a driving path for the autonomous vehicle.

Abstract: A lane change control method and system that include a driver mode setting unit that sets a driver's lane change mode based on a lane change mode input from a plurality of lane change modes and a lane change path generation unit that generates a lane change path based on the lane change mode set by the driver mode setting unit, a transverse acceleration of vehicle, a target path angle and a target transverse distance path. In addition, a path follow up controller executes a lane change based on the lane change path by calculating steering angle information that corresponds to the lane change path.

Abstract: A lane change control method and system that include a driver mode setting unit that sets a driver's lane change mode based on a lane change mode input from a plurality of lane change modes and a lane change path generation unit that generates a lane change path based on the lane change mode set by the driver mode setting unit, a transverse acceleration of vehicle, a target path angle and a target transverse distance path. In addition, a path follow up controller executes a lane change based on the lane change path by calculating steering angle information that corresponds to the lane change path.

Abstract: A lane keeping assist system (LKAS) is equipped with a compensator capable of solving the problem in which video data, which is measured by a video sensor, the processing speed of which is lower than the data processing speed of the LKAS, is repeatedly used, thereby improving the kinematic characteristics of a vehicle and lane-keeping control performance.

Abstract: A lane keeping assist system (LKAS) is equipped with a compensator capable of solving the problem in which video data, which is measured by a video sensor, the processing speed of which is lower than the data processing speed of the LKAS, is repeatedly used, thereby improving the kinematic characteristics of a vehicle and lane-keeping control performance.